Solutions Architect, Data Analytics for LLMs

ppAs a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations to driving relationships with key executives and managers to evangelize the adoption NVIDIA based AI technology. Dynamically engaging with developers, scientific researchers, data scientists, IT managers, and senior leaders is a significant part of the Solutions Architect role and will give you experience with a range of partners and technologies. /ppWhat You’ll Be Doing: /pulliWork directly with key customers to understand their technology and suggest/develop optimized approaches to the problems they are currently solving. /li /ululliDevelop and demonstrate solutions based on NVIDIA’s frameworks, such as RAPIDS and its integration with DASK as well as GPU accelerated Spark. /li /ululliSupport customers in adoption of the NVIDIA GPU-accelerated data science libraries including their application for generation of LLM training and RAG inference datasets. /li /ululliPerform in-depth analysis and optimization to ensure the best performance on GPU-based systems. This includes support in optimization of both training and inference data ingestion pipelines. /li /ululliPartner with Engineering, Product and Sales teams to plan and develop the best solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations /li /ululliBuild industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. /li /ulpWhat We Need to See: /pulliTrack record in fields related to machine learning focused data processing and analytics. /li /ululliExperience with one of the following libraries Pandas, NumPy, Numba, Ibis, Dask, Spark, and their GPU accelerated counterparts (cuDF, cuGraph, cuNumeric, CuPy, etc.). /li /ululliHigh level understanding one of modern AI fields (NLP, CV, ASR, TTS, etc.) and Excellent verbal, written communication, and technical presentation skills in English /li /ululli5+ years work or research experience with Python/ C++ / other software development /li /ululliMS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields /li /ululliYou are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team) /li /ululliCapable of working in a constantly evolving technological environment without losing focus. /li /ululliAbility to multitask effectively in a fast-paced environment and Driven with strong analytical and problem-solving skills. /li /ululliStrong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects /li /ululliYou are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team /li /ulpWays to Stand Out from The Crowd: /pulliExperience in very large-scale dataset preparation and curation. /li /ululliPrior experience working with AI/NLP focused datasets in a wide range of formats including tabular, textual, audio and proprietary file formats (e.g. PDF) /li /ululliExperience using DevOps technologies such as Docker, Kubernetes, Singularity, etc. /li /ul /p #J-18808-Ljbffr